Jose Quesada

AI & Agentic Systems

Architecture for production AI: agent runtimes, retrieval, model routing, tools, memory, gateways, evaluation, and the enterprise systems they connect to.

AI-Native Software Engineering

Redesigning the software delivery lifecycle around coding agents, specifications, automated verification, and human judgment.

Cloud & Platform Engineering

Cloud and infrastructure architecture across AWS, OCI, and Azure: Kubernetes, gateways, networking, observability, and infrastructure as code.

Engineering Leadership

Leading complex technical initiatives, setting architectural direction, developing engineers, and turning experimentation into repeatable engineering practice.

• An agent platform for enterprise systems

  A shared platform for building and operating enterprise AI agents, with provider abstraction, governed tool access, tenant isolation, secure credentials, and end-to-end observability.

• A platform that generates applications from specifications

  AI code generation for enterprise delivery, built around a knowledge repository, deterministic generation, reviewable plans, and human judgment.

• A mobile app that turns speech into structured data

  A cross-platform field app where the primary input is a person talking, and an AI service behind it turns what they said into validated, structured records.

• AI & agentic systems

  Designing enterprise agent platforms, RAG systems, tool architectures, and multi-model runtimes that integrate with existing business systems. MCP is settling into that picture; A2A I am watching closely.

• AI-native software engineering

  Redesigning how software is specified, built, reviewed, tested, and modernized when coding agents join the engineering workflow.

• Cloud & infrastructure

  Building the cloud and platform layers behind modern AI systems: Kubernetes, gateways, infrastructure as code, observability, networking, and multi-cloud architecture.

• Engineering leadership & innovation

  Leading SWAT, turning emerging technologies into repeatable engineering capability, and guiding teams through high-complexity technical work.

• Security & AI governance

  Designing identity, credential boundaries, tenant isolation, guardrails, auditability, and human control into AI systems from the beginning.

• Software architecture & modernization

  Modernizing complex enterprise systems and integration-heavy platforms while preserving the business behavior, reliability, and operational control they already provide.

• 

  Agentic AI Business Solutions Architect

  Microsoft

• 

  Machine Learning Engineer – Associate

  Amazon Web Services (AWS)

• 

  Azure AI Engineer Associate

  Microsoft

• 

  DevOps Engineer – Professional

  Amazon Web Services (AWS)

• 

  Security – Specialty

  Amazon Web Services (AWS)

• 

  DevOps Engineer Expert

  Microsoft

• 

  Power Platform Solution Architect Expert

  Microsoft

• 

  Developer – Associate

  Amazon Web Services (AWS)

• August 30, 2026

  From Software Engineering to AI-Native Engineering

  AI did not make software engineering faster. It moved the bottleneck from writing code to deciding whether the code is correct — and I found that out by pointing an agent at my own site.

I live in Costa Rica and I am a solo parent to two kids, nine and seven. Most of my time outside work belongs to them: hiking, zip-lining, horseback riding, whatever adventure comes next. I play golf and soccer, study Japanese, travel whenever I can, and watch a lot of anime. Tensura is the easy favorite.